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Cited by 171

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A fully reconfigurable waveguide Bragg grating for programmable photonic signal processing

Open access
Zhang, Weifeng, Yao, Jianping·2018·Nature Communications

Abstract

Since the discovery of the Bragg’s law in 1913, Bragg gratings have become important optical devices and have been extensively used in various systems. In particular, the successful inscription of a Bragg grating in a fiber core has significantly boosted its engineering applications. However, a conventional grating device is usually designed for a particular use, which limits general-purpose applications since its index modulation profile is fixed after fabrication. In this article, we propose to implement a fully reconfigurable grating, which is fast and electrically reconfigurable by field programming. The concept is verified by fabricating an integrated grating on a silicon-on-insulator platform, which is employed as a programmable signal processor to perform multiple signal processing functions including temporal differentiation, microwave time delay, and frequency identification. The availability of ultrafast and reconfigurable gratings opens new avenues for programmable optical signal processing at the speed of light.

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Metadata

Authors
Zhang, W., & Yao, J.
Venue
Nature Communications
Published
2018-04-11
Volume
9
Issue
1
Pages
1396-1396
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2797019344
Cited by
171
References
3
FWCI
6.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A fully reconfigurable waveguide Bragg grating for programmable photonic signal processing. https://app.cochat.ai/papers/10.1038/s41467-018-03738-3
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Zhang, W., & Yao, J. (2018). A fully reconfigurable waveguide Bragg grating for programmable photonic signal processing. Nature Communications. https://doi.org/10.1038/s41467-018-03738-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.